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It's not in their tweets: Modeling topical expertise of Twitter users
It's not in their tweets: Modeling topical expertise of Twitter users. Claudia Wagner∗, Vera Liao†, Peter Pirolli‡, Les Nelson‡ and Markus Strohmaier§. ∗. Institute ...
[ wagner_parc_socialcom2012.pdf - Read/Download File

Inferring User Interests in the Twitter Social Network - Max Planck
tise of popular Twitter users, and then transitively infer the .... Inferring topical expertise using Twitter Lists: Lists ..... It's not in their tweets: modeling topical.
[ recsys14-userinterests.pdf - Read/Download File

Finding News Curators in Twitter - School of Computing Science
It's not in their tweets: Modeling topical expertise of twitter users. In. SocialCom/ PASSAT, pages 91–100, 2012. [25] A. H. Wang. Don't follow me: Spam detection  ...
[ snow2013.pdf - Read/Download File

How People Describe Themselves on Twitter
the Twitter graph, the tweets, and the behavior of its users. In this work, we .... other features in the context of topical expertise of Twitter users, namely, to form ...
[ twitter_bio.pdf - Read/Download File

A Classification Model for the Identification of Prominent Microblogs
Bizid et al. Identifying Prominent Microblogs Users during a Disaster ... information which was not previously accessible using traditional communication techniques. .... weighted according to its importance during the disaster. USERS' .... It's Not in. Their Tweets: Modeling Topical Expertise of Twitter Users, Privacy, Security,.
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Targeted Interest-Driven Advertising in Cities Using Twitter - Aris
then we perform user profiling to identify the degree of in- terest of each ... interests/expertise. ..... It's not in their tweets: modeling topical expertise of twitter users.
[ offline-advertising.pdf - Read/Download File

Leveraging Noisy Lists for Social Feed Ranking - EECS - University
tent and not allowing users to separate their topics of interest or place a priority on .... Twitter and concluded that topic-centric lists contain users who tend to .... to rate its relevance. ...... It's not in their tweets: Modeling topical expertise of Twitter  ...
[ ICWSM13.pdf - Read/Download File

Geo-Spatial Domain Expertise in Microblogs - Multimedia
sample of geo-tagged tweets and model users' location tracks in order ..... It's. Not in Their Tweets: Modeling Topical Expertise of Twitter Users. In 2012 Inter-.
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Identification of Microblogs Prominent Users during Events by
probabilistic model for the identification of prominent users in microblogs during ... microblogs such as Twitter provide many characterizing fea- tures about their ... dealt with the identification of topical authorities and do- main experts [9, 13, 6]. ..... It's not in their tweets: Modeling topical expertise of twitter users. In SocialCom  ...
[ bizid-cikm15.pdf - Read/Download File

Submitted Version (PDF 638kB) - QUT ePrints
It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users. In Privacy, Security, Risk and Trust (PASSAT), 2012. International Conference on and 2012  ...
[ IR14-Panel.pdf - Read/Download File

Finding Credible Information Sources in Social Networks - Parc
network users according to their relevance and expertise for a given topic. ... Twitter users, arguing that despite its widespread use, in- degree alone is not ...
[ finding-credible-information-preprint.pdf - Read/Download File

Microposts2014 - CEUR-WS.org
Apr 7, 2014 ... a focus on the end user and their interaction with other users and ..... It's not in their tweets: Modeling topical expertise of twitter users. In The 4th ...
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Reverse Engineering Socialbot Infiltration Strategies in Twitter - DCC
the method used to generate their tweets, the type of users they attempt to .... a socialbot are considered relevant by its target users, we use a set of tweets ..... M. Strohmaier, “It's not in their tweets: modeling topical expertise of Twitter users,”.
[ ASONAM_2015_paper_104.pdf - Read/Download File

Inferring Topical Attributes of Users in the Twitter Social Network
“We're not a social network, we're an information network” – Michael ... Millions of users rely on Twitter to discover real-time content on various ... relevant to their interests. ▫ How to locate ... Utilize social annotations to infer topics of expertise of popular ... Accuracy. ❑ Compared with topic modeling (Labeled LDA) on tweets.
[ DOOCN14_SaptarshiGhosh.pdf - Read/Download File

Collective Knowledge Ontology User Profiling for Twitter—Automatic
Abstract—How to model user interests and intentions through .... additional information to leverage, because not only user- centric data (e.g., tweets) .... User -to-user, with its ..... “It's not in their tweets: modeling topical expertise of Twitter users”.
[ 5145a439.pdf - Read/Download File

Mining Themes and Interests in the Asperger's and - Yangfeng Ji
By modeling author preference by topic, we .... Its probability is written as p(a(q) d . |θd, y, Ω ...... It's not in their tweets: Modeling topical expertise of Twitter users.
[ ji-acl-clinical-2014.pdf - Read/Download File

Entity Disambiguation in Tweets leveraging User Social - CiteSeerX
networks are leaving traces of their expertise, interests and per- sonalities. With the advances in Web mining and user modeling techniques it is possible to ...
[ IRI_UserProfilesPAPER.pdf - Read/Download File

Who is the Barbecue King of Texas?: A Geo-Spatial Approach to
that integrates both users' topical expertise and their local authority. Concretely, we .... language modeling approach to expertise identification, but aug- ment it to incorporate the .... Twitter users reveal overly coarse or no location at all in the self- reported ... finding method that relies on a user's geo-tagged tweets akin to a .
[ cheng_sigir14.pdf - Read/Download File

Religious Politicians and Creative Photographers: Automatic User
attributes (e.g., creative, innovative, funny) for Twitter users based on features extracted ...... [22] C. Wagner, V. Liao, P. Pirolli, L. Nelson, and M. Strohmaier, “It's not in their tweets: Modeling topical expertise of twitter users,” in. Proceedings ...
[ socialcom2013_userClassification.pdf - Read/Download File

Tweeting is Believing? Understanding - Microsoft Research
results regarding users' perceptions of tweet credibility. We ... tweets to assess their impact on credibility ratings. ... Twitter acts not only as a social network, but as a news .... individuals, and those which were topically related to the .... primary experiment and its results, followed by a ... author bio suggests topic expertise 3.66.
[ tweet_credibility_cscw2012.pdf - Read/Download File

Measuring User Influence in Twitter: The Million Follower Fallacy
mean the number of times others “forward” a user's tweet; and mentions mean ... others simply for etiquette—it's polite to follow someone ... million followers does not always mean much in the Twitter .... like actors, writers, musicians, and models (Ashton Kutcher, ..... their area of expertise. .... We call these users topical influ-.
[ cha-follower.fallacy-ICWSM2010.pdf - Read/Download File

A Model for Recalibrating Credibility in Different Contexts and
and features, and we classify the Twitter credibility surveys based ... These services enable its members to easily and ... how and why users carry out with their credibility ... It should be noted that in this work we do not .... itself, the user, all the tweets on the topic and the .... author influence, topical expertise, and reputation.
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User Classification in Online Communities - CSE User Home Pages
are interested in modeling user behavior and providing deeper insights into how ... 3 Identification of Potential Expertise in Question Answering Commu- ...... We perform this study by considering a set of Twitter authors and their tweets. ... names can be seen by the human coders, while it's not visible in the second condition.
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Large Scale Homophily Analysis in Twitter Using a Twixonomy - IJCAI
the most common way to model users' interests: in Zamal et al. [2012] textual features are extracted from tweets using. SVM, while ... scale of millions of users. First, the topical expertise of ... ity over time: as shown in Pal and Counts [2011], there is no evidence that a .... and location, e.g. ”Britney Spears”, ”Its Britney ...”, ” Los.
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Using Lists to Measure Homophily on Twitter - ISI
ing homophily can help us build better user models for per- ... age, location, occupation, etc., not only in real-world social networks ... tence of topical homophily on Twitter using a novel source ... expertise. In an online social network of Twitter, for exam- ple, one is more likely to find a Semantic Web ... to receive their tweets.
[ AAAI2012_homophily.pdf - Read/Download File

Finding Relevant Sources in Twitter Based on Content and Social
automatically identifying and ranking Twitter users according to their ... Credibility is often conceived as a function of expertise and trust [3], and ... publish topically relevant tweets but also are trusted by their peers. Unfortunately, there is no simple ... network have been closely studied, including its social structure, usage  ...
[ download?doi=10.1.1.364.5718&rep=rep1&type=pdf - Read/Download File

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